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Hitachi Vantara HCE-5920 Exam - Topic 3 Question 30 Discussion

Actual exam question for Hitachi Vantara's HCE-5920 exam
Question #: 30
Topic #: 3
[All HCE-5920 Questions]

You need to process data on the nodes within a Hadoop cluster. To accomplish this task, you write a mapper and reducer transformation and use the Pentaho MapReduce entry to execute the MapReduce job on the cluster.

In this scenario, which two steps are required within the transformations? (Choose two.)

Choose 2 answers

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Suggested Answer: A, C

Contribute your Thoughts:

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Trinidad
3 months ago
I thought the Madoop File Input step was outdated?
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Gerardo
3 months ago
Agreed, those are the right steps!
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Cherelle
4 months ago
Wait, are we sure about the MapReduce Output step? Seems off.
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Glendora
4 months ago
I think the Hadoop File Output step is essential too.
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Brande
4 months ago
Definitely need the MapReduce Input step!
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Lisbeth
4 months ago
I'm a bit confused about the difference between the Hadoop File Output and the MapReduce Output steps. I wish I had reviewed that part more thoroughly.
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Willis
4 months ago
I practiced a similar question where we had to identify input and output steps, and I feel like the MapReduce Input step is crucial here.
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Lashawna
4 months ago
I think we definitely need the MapReduce Output step for the reducer, but I can't recall if we also need the Hadoop File Output step.
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Lashawnda
5 months ago
I remember we discussed the importance of input and output steps in MapReduce, but I'm not sure if it's the Hadoop File Input or the MapReduce Input step we need.
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Stefany
5 months ago
I'm feeling pretty confident about this one. The Hadoop File Input and Hadoop File Output steps seem like the logical choices to process the data on the cluster.
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Hobert
5 months ago
I'm a bit confused about the Pentaho MapReduce entry. Is that a specific tool or part of the Hadoop ecosystem? I'll need to review my notes on that.
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Crista
5 months ago
Okay, let's see. The question mentions a mapper and reducer transformation, so I'm guessing the MapReduce Input and MapReduce Output steps are required.
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Anglea
5 months ago
Hmm, this looks like a tricky one. I'll need to think carefully about the steps involved in a Hadoop MapReduce job.
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Alberta
5 months ago
Okay, I think I've got this. The key here is that the LotCode element is defined as empty, but it has a LotId attribute. So the correct answer should be the one that reflects that structure properly in the XML Schema syntax.
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Dorthy
5 months ago
I remember a question like this in practice, where the mode was the most frequent number, but I had some trouble calculating all three measures quickly.
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Benton
5 months ago
I'm a bit confused on the nuances between those three options. I'll need to review the definitions carefully to determine which ones would best support the client's requirement.
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